Acceldata is reimagining the way companies observe their Data! Acceldata is the pioneer and leader in data observability, revolutionizing how enterprises manage and observe data by offering comprehensive insights into various key aspects of data, data pipelines and data infrastructure across various environments. Our platform empowers data teams to manage products effectively by ensuring data quality, preventing failures, and controlling costs. About the Role
We are seeking an exceptional Senior Engineering Manager to lead an engineering team of 15-20 engineers. This is a techno-managerial role responsible for delivering high-quality software while ensuring the team is productive, engaged, and aligned with business goals. This role is responsible for managing a team that works on building the next generation of Acceldata's platform and products and owns the responsibility to ship the key features of the product on-time. As a Senior Engineering Manager, you will work closely with Engineering Leadership to build the product strategy, reviewing the product roadmaps, track the engineering progress and plan the releases. You will play a key role in hiring, coaching the team members, providing technical guidance and ensuring engineering excellence across the team. What You'll Do Technical Leadership
Guide architecture and design decisions. Review technical proposals and trade-offs. Establish engineering best practices. Ensure scalability, reliability, security, and maintainability. Partner with senior engineers and architects on technical strategy. People Leadership
Build a strong engineering team. Guide the team, resolve conflicts and remove blockers.
Conduct performance reviews and career development discussions. Build a healthy and inclusive team culture. Project & Delivery Management
Own execution of engineering roadmaps. Ensure projects are delivered on time and with quality. Manage project planning, resource allocation, risk assessment, and dependency management across multiple initiatives. Balance technical debt with feature delivery. Drive engineering productivity and predictability. Cross-Functional Collaboration
Work closely with Product Managers on roadmap planning. Collaborate with Design, Customer Success, Sales, and Support teams. Align engineering efforts with business objectives. Communicate status, risks, and priorities to stakeholders. Operational Excellence
Define engineering processes and metrics. Improve CI/CD, testing, observability, and release management. Manage incident response and postmortems. Monitor team health and delivery metrics. What We're Looking For 14–18 years of hands-on software engineering experience with deep expertise in backend systems and platform engineering.
6+ years of experience in managing a high performance team of 20+ engineers
Experience designing complex systems around data, applications, and enterprise-scale workloads.
Strong programming expertise in Java, Scala, Golang, or similar backend technologies.
Hands-on experience with distributed data processing and streaming technologies such as Apache Spark, Apache Flink, and Apache Kafka, along with NoSQL databases (e.g., Cassandra, MongoDB, HBase, DynamoDB). Strong experience working within the Big Data ecosystem, including technologies such as Hadoop, HDFS, Hive, YARN, Iceberg, Trino, and Airflow, is highly preferred.
Expertise in project planning, resource allocation, risk assessment, and dependency management
Strong stakeholder management, communication, and problem-solving skills.
Ability to balance technical depth with people leadership and business priorities. Exceptional problem-solving, debugging, and analytical skills.
Strong communication skills with the ability to engage effectively with engineering leaders, architects, product leaders, and executives.
Preferred Qualifications
Experience with large-scale data platforms, analytics systems, or data infrastructure products.
Experience building observability, monitoring, reliability, or platform engineering solutions. Why Join Us?
Build products that solve some of the most challenging problems in Data and AI Observability.
Influence the architecture and technical direction of a category-defining platform.
Work on large-scale distributed systems serving some of the world's largest enterprises.
Collaborate with a world-class engineering team focused on innovation and technical excellence.
Enjoy significant ownership, autonomy, and opportunities to shape the future of the company and its products.